{"id":"https://openalex.org/W1993588193","doi":"https://doi.org/10.1109/icip.2014.7025608","title":"A practical spatial re-ranking method for instance search from videos","display_name":"A practical spatial re-ranking method for instance search from videos","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1993588193","doi":"https://doi.org/10.1109/icip.2014.7025608","mag":"1993588193"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036693904","display_name":"Xiao Zhou","orcid":"https://orcid.org/0000-0002-1331-7379"},"institutions":[{"id":"https://openalex.org/I174385955","display_name":"Hefei Normal University","ror":"https://ror.org/01b64k086","country_code":"CN","type":"education","lineage":["https://openalex.org/I174385955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhou","raw_affiliation_strings":["Hefei Normal University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Normal University, Hefei, China","institution_ids":["https://openalex.org/I174385955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014425044","display_name":"Cai-Zhi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Cai-Zhi Zhu","raw_affiliation_strings":["Nagoya University, Chikusa-ku, Nagoya, Aichi, Japan","National Institute of Informatics, Chiyoda-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University, Chikusa-ku, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"National Institute of Informatics, Chiyoda-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136845","display_name":"Qiang Zhu","orcid":"https://orcid.org/0000-0001-7094-9236"},"institutions":[{"id":"https://openalex.org/I174385955","display_name":"Hefei Normal University","ror":"https://ror.org/01b64k086","country_code":"CN","type":"education","lineage":["https://openalex.org/I174385955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhu","raw_affiliation_strings":["Hefei Normal University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Normal University, Hefei, China","institution_ids":["https://openalex.org/I174385955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743927","display_name":"Shin\u2019ichi Satoh","orcid":"https://orcid.org/0000-0001-6995-6447"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Informatics, Chiyoda-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Chiyoda-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089712052","display_name":"Guo Yu-tang","orcid":"https://orcid.org/0009-0002-0803-6238"},"institutions":[{"id":"https://openalex.org/I174385955","display_name":"Hefei Normal University","ror":"https://ror.org/01b64k086","country_code":"CN","type":"education","lineage":["https://openalex.org/I174385955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Tang Guo","raw_affiliation_strings":["Hefei Normal University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Normal University, Hefei, China","institution_ids":["https://openalex.org/I174385955"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3008","last_page":"3012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8483359813690186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026638627052307},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7299279570579529},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6776704788208008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6188513040542603},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5715625286102295},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5639828443527222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5172775387763977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4663761258125305},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45416221022605896},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4288903772830963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42822685837745667},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.42198604345321655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40573084354400635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3461427688598633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12855267524719238}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8483359813690186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026638627052307},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7299279570579529},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6776704788208008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6188513040542603},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5715625286102295},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5639828443527222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5172775387763977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4663761258125305},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45416221022605896},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4288903772830963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42822685837745667},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.42198604345321655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40573084354400635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3461427688598633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12855267524719238},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1979931042","https://openalex.org/W1983144107","https://openalex.org/W2023991840","https://openalex.org/W2068143350","https://openalex.org/W2069021608","https://openalex.org/W2100398441","https://openalex.org/W2117848735","https://openalex.org/W2118355530","https://openalex.org/W2122833801","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2149991777","https://openalex.org/W2151103935","https://openalex.org/W2172188317","https://openalex.org/W2901058987","https://openalex.org/W2917663306","https://openalex.org/W6680597956"],"related_works":["https://openalex.org/W2315491162","https://openalex.org/W2562198007","https://openalex.org/W2368840343","https://openalex.org/W2031468273","https://openalex.org/W2370100764","https://openalex.org/W4297816538","https://openalex.org/W2187479119","https://openalex.org/W2073542340","https://openalex.org/W3127142483","https://openalex.org/W2108728721"],"abstract_inverted_index":{"Spatial":[0],"re-ranking":[1,15,48,70,161],"has":[2,16],"proved":[3],"to":[4,80,87,105,125],"be":[5],"successful":[6],"in":[7],"image":[8],"retrieval.":[9],"Yet":[10],"no":[11],"work":[12],"on":[13,97,168],"spatial":[14,36,47,69,94],"been":[17],"systematically":[18],"reported":[19],"for":[20,51,72,93],"instance":[21,56,74],"search":[22],"from":[23],"videos":[24,28],"so":[25],"far:":[26],"As":[27],"are":[29],"composed":[30],"of":[31,54,117,144],"multiple":[32],"frames,":[33],"and":[34,175],"frame-by-frame":[35],"verification":[37],"is":[38,60,86,104,153],"too":[39],"prohibitive,":[40],"till":[41],"now":[42],"we":[43],"lack":[44],"an":[45],"efficient":[46],"method":[49,71],"designed":[50],"the":[52,83,89,98,102,115,118,126,134,149,160,169,176,183],"purpose":[53],"video":[55,73],"search.":[57,75,137],"The":[58],"effectiveness":[59],"unclear":[61],"as":[62,114,130],"well.":[63],"This":[64],"paper":[65],"proposes":[66],"a":[67,154,187],"practical":[68],"We":[76],"make":[77],"two":[78,139],"contributions":[79],"speed":[81],"up":[82],"algorithm:":[84],"One":[85],"select":[88],"most":[90],"representative":[91],"image/frame":[92],"verification,":[95],"based":[96],"available":[99],"Bag-of-Words":[100],"representation;":[101],"other":[103],"efficiently":[106],"build":[107],"tentative":[108],"matching":[109],"feature":[110],"pairs,":[111],"which":[112,158],"serve":[113],"input":[116],"RANSAC":[119,156],"algorithm,":[120],"by":[121,182],"regarding":[122],"features":[123],"quantized":[124],"same":[127],"visual":[128],"word":[129],"matches,":[131],"thus":[132],"avoid":[133],"costly":[135],"nearest-neighbor":[136],"These":[138],"modifications":[140],"lead":[141],"one":[142],"order":[143],"magnitude":[145],"speedup":[146],"without":[147],"compromising":[148],"performance.":[150],"Another":[151],"contribution":[152],"ROI-originated":[155],"method,":[157,185],"improves":[159],"performance":[162,179],"significantly.":[163],"Experiments":[164],"were":[165],"carried":[166],"out":[167],"TrecVid":[170],"Instance":[171],"Search":[172],"2013":[173],"dataset,":[174],"new":[177],"state-of-the-art":[178],"was":[180],"achieved":[181],"proposed":[184],"at":[186],"much":[188],"faster":[189],"speed.":[190]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}